Multi-Source Data Preprocessing Method Research Based on Python

Surveying and mapping project operation, data analysis is a key link, when faced with complex data storage, different specifications and organization forms of multi-source data, the conventional method of data processing steps, time consuming, inefficient and error-prone. At this point, how to efficiently process these multi-source data, improve production efficiency and quality of results is the focus of research. Based on the actual production projects, from the Angle of the operation, using the Python programming technology to procedural data preprocessing steps. The results show that the man-machine cooperative method based on program processing and manual inspection is faster and more efficient in multi-source data preprocessing, and can be operated by many people at the same time, which greatly shortens the duration of data preprocessing.